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IRP Embodiment Framework
**Version:** 1.0.0
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Jan 15, 2026
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**Version:** 1.0.0
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Version: 1.0.0
Category: Integration / Physical Embodiment
Priority: HIGH
Auto-Load: Yes (for embodiment contexts)
Extends the Intelligent Response Protocol (IRP) into physical embodiment, bridging high-level cognitive orchestration with real-time sensor fusion and actuator control. Enables IRP network data to inform and guide physical systems (robotics, AR overlays, industrial sensors) while maintaining sovereignty, latency constraints, and cryptographic integrity.
Real-World Data Ingestion
IRP-to-Physical Translation
Embodiment Modalities
Codex Law Integration
IRP Swarm (Cognitive Layer) ↕ Semantic Bridge Embodiment Translation Layer ← YOU ARE HERE ↕ Control Bridge Real-Time Control Substrate (ROS2 + RTOS) ↕ Hardware I/O Physical Modality (Robot/AR/Sensors)
| Constraint | Requirement |
|---|---|
| Hardware | Single Mac Studio M1 Max 64GB (monolithic, no clustering) |
| OS | Ubuntu 24.04 ARM64 + PREEMPT_RT kernel |
| Latency | <10ms safety-critical, <50ms deliberative, <60ms AR |
| Sovereignty | All processing local (air-gapped) |
| Integrity | Genesis Protocol boot validation required |
<EmbodimentState> <Metadata> <Timestamp>2025-12-07T17:00:00Z</Timestamp> <ModalityType>ar_overlay | humanoid | industrial_sensor</ModalityType> <CoordinateFrames> <!-- 4x4 transformation matrices --> </CoordinateFrames> <IntegrityHash>sha256:...</IntegrityHash> </Metadata> <SensorFusion> <AcousticData timestamp="..." sensorID="..."> <Frequency>1200.5</Frequency> <Amplitude>75.3</Amplitude> <AnomalyScore>0.82</AnomalyScore> </AcousticData> <WeightData timestamp="..." sensorID="..."> <MeasuredWeight>1450.2</MeasuredWeight> <ExpectedWeight>1452.0</ExpectedWeight> <Discrepancy>-1.8</Discrepancy> </WeightData> <ThermalData timestamp="..."> <Temperature>1350.0</Temperature> <HotspotCoordinates x="1.5" y="0.8" z="0.2"/> </ThermalData> <VisualData timestamp="..."> <ObjectDetections> <Label>molten_ladle</Label> <BoundingBox xmin="100" ymin="150" xmax="300" ymax="400"/> <Confidence>0.95</Confidence> </ObjectDetections> <TrackingConfidence>0.97</TrackingConfidence> </VisualData> </SensorFusion> <SafetyBoundaries> <Zone> <Type>splash_zone</Type> <RiskLevel>0.95</RiskLevel> <BoundaryPoints> <Coordinates x="1.5" y="0.8" z="0.2" frameRef="foundry_fixed"/> <!-- More points defining volumetric boundary --> </BoundaryPoints> </Zone> </SafetyBoundaries> <TemporalSequences> <Sequence> <SequenceID>pour_001</SequenceID> <StartTime>2025-12-07T17:00:00Z</StartTime> <EndTime>2025-12-07T17:03:15Z</EndTime> <EventRef>spout_placement</EventRef> <EventRef>pour_initiation</EventRef> <EventRef>flow_monitoring</EventRef> </Sequence> </TemporalSequences> </EmbodimentState>
{ "embodiment_state": { "metadata": { "timestamp": "2025-12-07T17:00:00Z", "modality_type": "ar_overlay", "integrity_hash": "sha256:abc123..." }, "sensor_fusion": { "acoustic": [{ "timestamp": "2025-12-07T17:00:00.100Z", "sensor_id": "arduino_mic_01", "frequency": 1200.5, "amplitude": 75.3, "anomaly_score": 0.82 }], "weight": [{ "measured_weight": 1450.2, "expected_weight": 1452.0, "discrepancy": -1.8 }] }, "safety_boundaries": { "zones": [{ "type": "splash_zone", "risk_level": 0.95, "boundary_points": [...] }] } } }
Physical Sensors → Embodiment Layer
Embodiment Layer → IRP Swarm
/irp/sensor_stateIRP Swarm → Embodiment Layer
/irp/commandsReal-Time Control → Actuators
# IRP Swarm Decision (Claude) decision = { "action": "initiate_pour", "parameters": { "target_weight": 1452.0, "max_pour_rate": 50.0, # kg/min "safety_threshold": 1400.0 # °C }, "orchestrator_signature": "ed25519:..." } # Embodiment Bridge Translation ros2_command = { "topic": "/spout_controller/tilt", "message_type": "JointState", "data": { "position": [0.15], # 15° tilt "velocity": [0.05], # slow ramp "effort": [10.0] } } # Continuous Monitoring (from sensors → IRP) sensor_stream = { "acoustic_anomaly": 0.12, # Normal "weight_current": 450.2, # 31% complete "thermal_max": 1350.0, # Safe "ar_tracking_confidence": 0.97 } # Safety Halt Trigger (if anomaly detected) if sensor_stream["acoustic_anomaly"] > 0.8: irp_swarm.publish("/emergency/halt", { "reason": "acoustic_anomaly_detected", "severity": "critical" })
- [ ] Coordinate calibration verified (4 fixed points) - [ ] Safety boundaries defined in 3D - [ ] Acoustic baseline captured - [ ] Weight sensors zeroed - [ ] Thermal camera functional - [ ] AR tracking confidence > 0.95 - [ ] Emergency stop accessible within 2s - [ ] Genesis Protocol validation passed - [ ] Backup observer present (two-person rule)
def safety_loop(): while operation_active: state = get_embodiment_state() # Thermal check if state['thermal_max'] > 1400: trigger_alarm("Thermal threshold exceeded") # AR tracking degradation if state['ar_tracking_confidence'] < 0.8: freeze_overlays() alert_operator("Tracking degraded") # Weight-visual correlation discrepancy = abs(state['weight'] - state['visual_estimate']) / state['weight'] if discrepancy > 0.05: log_anomaly("Weight-visual mismatch") time.sleep(1.0)
| Failure | Detection | Response | Recovery |
|---|---|---|---|
| AR Tracking Loss | Confidence < 0.8 | Freeze overlays, haptic alert | Recalibration |
| Sensor Discrepancy | Weight vs Visual > 5% | Flag anomaly, human verify | Training data |
| Actuator Timeout | ACK > 50ms | Emergency stop | Diagnostics |
| Thermal Threshold | Temp > 1400°C | Audible alarm | Cooldown |
| Integrity Fail | Hash mismatch | System halt | Reflash |
import rclpy from rclpy.node import Node from std_msgs.msg import String from sensor_msgs.msg import JointState import json class IRPEmbodimentBridge(Node): def __init__(self): super().__init__('irp_embodiment_bridge') # IRP high-level commands self.irp_subscriber = self.create_subscription( String, '/irp/commands', self.irp_callback, 10) # ROS2 low-level control self.joint_publisher = self.create_publisher( JointState, '/joint_commands', 10) # Sensor feedback self.sensor_subscriber = self.create_subscription( String, '/sensors/fused', self.sensor_callback, 10) # IRP feedback loop self.irp_feedback = self.create_publisher( String, '/irp/sensor_state', 10) def irp_callback(self, msg): """Translate IRP intent to ROS2 control""" command = json.loads(msg.data) if command['action'] == 'move_arm': joint_msg = JointState() joint_msg.position = command['joint_angles'] self.joint_publisher.publish(joint_msg) def sensor_callback(self, msg): """Forward fused sensors to IRP""" sensor_state = json.loads(msg.data) self.irp_feedback.publish(String(data=json.dumps(sensor_state)))
import hashlib import ed25519 from datetime import datetime def validate_embodiment_integrity(ethical_core_path, genesis_pubkey, signature): # Hash ethical core with open(ethical_core_path, 'rb') as f: core_hash = hashlib.sha256(f.read()).hexdigest() # Verify signature try: verifying_key = ed25519.VerifyingKey(genesis_pubkey) verifying_key.verify(signature, core_hash.encode()) except ed25519.BadSignatureError: trigger_system_halt() return False # Check monotonic time if datetime.utcnow() < get_genesis_timestamp(): trigger_system_halt() return False return True
Software:
Hardware:
skills/irp-embodiment-framework/ ├── SKILL.md (this file) ├── IRP_EMBODIMENT_FRAMEWORK_SPEC_v1.0.md (full specification) ├── schemas/ │ ├── embodiment_state.xsd │ └── embodiment_state.schema.json ├── examples/ │ ├── irp_embodiment_bridge.py │ ├── genesis_validator.py │ └── sensor_fusion_node.py └── docs/ ├── SAFETY_PROTOCOLS.md ├── CALIBRATION_GUIDE.md └── TROUBLESHOOTING.md
transmission-packet-forgecodex-law-enforcementgenesis-protocolinternal-red-team-auditrecursive-thought-committee# In IRP swarm session from irp_embodiment_framework import EmbodimentBridge # Initialize bridge = EmbodimentBridge( genesis_core_path="/config/genesis_core.xml", modality_type="foundry_ar" ) # Validate on boot if not bridge.validate_integrity(): raise SystemExit("Genesis validation failed") # Subscribe to sensor stream bridge.subscribe_sensors([ "acoustic_monitoring", "weight_sensors", "thermal_camera" ]) # Execute IRP command command = { "action": "initiate_pour", "orchestrator_signature": "ed25519:...", "parameters": {...} } bridge.execute(command) # Monitor real-time while operation_active: state = bridge.get_sensor_state() if state['risk_level'] > 0.9: bridge.emergency_halt()
CONSENT: ✓ All actions require orchestrator signature INVITATION: ✓ Explicit trigger via /irp/commands topic INTEGRITY: ✓ Cryptographic validation chain maintained GROWTH: ✓ Incremental capability expansion with audit logs
IRP_EMBODIMENT_FRAMEWORK_SPEC_v1.0.mdStatus: ACTIVE
Last Updated: 2025-12-07
Maintainer: Joseph / Pack3t C0nc3pts